strategic decision making across the business Ownership and influence of departmental budgets Essential Background: Strong data analytics skills using tools such as SQL, Python, R, Tableau, Power Bi Experience partnering senior stakeholders Excellent collaborative working skills Strong communicator What's in it for you? Competitive Salary Hybrid working Superb leadership more »
and progression plans in place. Experience/Duties A degree or equivalent in a relevant subject (Mathematics, Statistics, Computer Science etc.) Ability to use R (or other data mining tools) Ability to build & interpret PowerBI reports Strong analytical skills, with the ability to extract, clean and analyse large datasets with more »
on machine learning. Proven experience in applying machine learning techniques to real-world problems, preferably in a financial context. Strong programming skills in Python, R, or similar languages. Solid understanding of statistical methods and quantitative research methodologies. Strong communication skills and the ability to work collaboratively in a team environment. more »
would be considered Working knowledge of at least one vendor model (i.e. RMS, AIR) Working knowledge of SQL; additional computer programming skills (e.g. VBA, R, python) would be beneficial If interested, please get in touch. more »
using Dataiku or similar data science platforms for data manipulation and modelling e.g. Alteryx, Microsoft Azure. Strong programming skills in languages such as Python, R, or SQL. Must have experience working with CRM systems. Prior experience in the fashion industry or luxury retail sector is a plus. Inquisitive and curious more »
Stoke-On-Trent, Staffordshire, West Midlands, United Kingdom
BET365
statistical knowledge and data visualisation techniques. Preferred Skills, Qualifications and Experience Experience in name matching algorithms or highly proficient in MS Excel, PowerBI, SQL, R or Python. Experience in delivering solutions through quantitative research using large data sources. Self-motivated to problem solve, research and deliver change within the department. more »
statistical knowledge and data visualisation techniques. Preferred Skills, Qualifications and Experience Experience in name matching algorithms or highly proficient in MS Excel, PowerBI, SQL, R or Python. Experience in delivering solutions through quantitative research using large data sources. Self-motivated to problem solve, research and deliver change within the department. more »
and motivate teams to achieve ambitious goals and drive results. Expertise in software development methodologies, tools, and technologies, including but not limited to Python, R, SQL, cloud computing platforms (AWS, Azure), and big data technologies. Excellent communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at all more »
prioritize tasks • Familiarity with marketing analytics tools and techniques • Advanced Excel, PowerPoint, and Eviews (or other modelling software) skills • Knowledge of programming languages (e.g., R, Python) is a plus Please apply more »
background and numerical skills. Educational background in statistics, mathematics, data science, or engineering. Hands-on experience with statistical data programs such as SAS, SQL, R, or Python. Proactive, able to act on own initiative and deliver high-quality outcomes. Excellent communication skills, both verbal and written, with the ability to more »
or traditional market spaces. A strong academic background in Mathematics, Statistics, Financial Engineering, or a related field. Proficiency in programming languages such as Python, R, or MATLAB is foundational. A demonstrable track record of developing profitable quantitative strategies and models. Exceptional communication skills, enabling the translation of complex quantitative concepts more »
in machine learning methods is an advantage • Kaggle Master and above (or similar) qualification in public AI/ML platforms • Strong programming skills in R or Python • An attention to detail and are keen to contribute in a fast-paced trading environment • Complexity is a challenge and not a problem more »
a business environment: relational databases, publicly available datasets, or Reproducible Analytical Pipelines Possesses the ability to write code in at least one of Python, R, SQL, or SAS Experience of working with information technology using Microsoft Office packages (Word, Excel and PowerPoint), or equivalent Systems Employer details Employer name NHS more »
data science techniques to solve business problems would be beneficial. Skills and experience we’re looking for: Solid programming language experience such as Python, R, SQL or similar. Analytical mindset and creative thinker/problem solver. Organised self-starter, with drive and commitment. Communication and interpersonal skills, including the ability more »
physical science discipline or equivalent experience. - Demonstrable proficiency in at least one compiled language (e.g., C++, Fortran, C, Rust) or advanced scripting language (Julia, R, Swift Parallel Scripting). - Strong experience with UNIX operating system, particularly the command line interface. - Practical experience in agile project management and software development practices. more »
science discipline, or equivalent experience. - Demonstrable proficiency in at least one compiled language (e.g., C++, Fortran, C, Rust) or advanced scripting language (e.g., Julia, R, Python, Swift Parallel Scripting). - Strong experience with UNIX operating system, particularly the command line interface. - Demonstrable experience in common AI/ML frameworks such more »
and keep abreast of external best practice globally and apply it as appropriate within Experian. More about you Experience in Oracle SQL, Python and R, exposure to data science & statistical packages would all be beneficial Strong business acumen and strategic thinking. Experience working in a Global Human Resources, Finance, Analytics more »
use of Business Intelligence tools for reporting, e.g. QlikSense, Power BI, SSRS, etc Knowledge of and ability to utilise statistical reporting solutions such as `R` and `SPSS`. Advanced level knowledge of MS Office, to include MS Excel, Word, and PowerPoint Knowledge Essential Detailed knowledge of the NHS data dictionary more »
aspects such as Solvency II internal models, ORSA and IFRS 17 Strong modelling skills with practical experience in at least one coding language (e.g., R, Python) would be preferred but not essential Understanding of the insurance industry and the challenges faced by our clients Highly motivated and willing to work more »
Map-Reduce or other Big Data frameworks Code management tools (Git, Sbt, Maven) Pyspark, Scala or other functional programming languages Analytics tools such as R or SPSS Any understanding of Web Analytics data such as Adobe Analytics or Google Analytics is a plus, but not essential. About dmg::media “dmg more »
level (minimum) in a numerate or analytic discipline Experience working with large data sets on a daily basis, using the likes of SAS, SQL, R, Python Experience with Radar Experience developing statistical models and/or interpreting data and providing commercial insights on the back on analysis Experience in an more »
Manchester, England, United Kingdom Hybrid / WFH Options
Harnham
marketing channel analysis, ROI etc. YOUR SKILLS AND EXPERIENCE A successful Customer Analyst will have: Advanced experience of SQL, Tableau/Power BI and R or Python. Commercial experience carrying out statistical analysis and predictive modelling. Highly numerate with a strong commercial acumen. Educated to a degree level in a more »
years of experience in a quantitative or finance-related discipline is a strong bonus. Strong programming skills in languages such as Python, R, or C++. Experience with data analysis and statistical modeling. Familiarity with machine learning frameworks and techniques. Excellent problem-solving abilities and attention to detail. Ability to work more »
validating credit risk models obtained from within a bank or a credit ratings agency. Some programming skills in a high-level language (e.g., Python, R, MATLAB, Excel VBA) and/or experience with econometric software packages (e.g., STATA, SAS). more »
departments. Qualifications: Degree in a numerical discipline or equivalent. Experience in insurance pricing or related analytical background. Proficiency in programming languages such as SAS, R, Matlab, or Python. Experience with predictive modelling techniques like Logistic Regression, Decision Trees, Random Forests, etc. Familiarity with Emblem and Radar. Strong communication skills to more »
